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My IGARSS 2016 Schedule

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WEP.P32: POL and POLInSAR III

Session Type: Poster
Time: Wednesday, July 13, 17:20 - 19:00
Location: Third Floor, South Hall, Poster Area
 
  WEP.P32.173: TREE HEIGHT ESTIMATION AT PLATEAU MOUNTAINS, NORTHWESTERN SICHUAN, CHINA USING DUAL POL-INSAR DATA
         Huimin Li; University of Electronic Science and Technology of China
         Yong Wang; University of Electronic Science and Technology of China
         Xuelian Luo; University of Electronic Science and Technology of China
 
  WEP.P32.174: TEMPORAL ANALYSIS OF POLINSAR BASED FOREST HEIGHT INVERSION FOR TECTONA GRANDIS AND EUCALYPTUS PLANTATIONS
         Unmesh Khati; Indian Institute of Technology, Bombay
         Gulab Singh; Indian Institute of Technology, Bombay
 
  WEP.P32.175: THE CLASSIFICATION RESULTS INTERPRETATION FOR COMPACT SAR DATA BASED ON PARTIAL POLARIZATION DECOMPOSITION
         Wangfei Zhang; Southwest Forestry University
         Yongjie Ji; Southwest Forestry University
         Leiguang Wang; Southwest Forestry University
         Wenmei Li; Nanjing University of Posts and Telecommunications
         Longhua Yu; Southwest Forestry University
 
  WEP.P32.176: LAND COVER CLASSIFICATION USING RADIOMETRIC-TERRAIN-CALIBRATED POLARIMETRIC SAR IMAGES
         Jinyan Xu; State Oceanic Administration
         Mingsheng Liao; Wuhan University
         Lu Zhang; Wuhan University
         Xinwei Yang; Wuhan University
 
  WEP.P32.177: UNSUPERVISED CLASSIFICATION OF THE WEAK BACKSCATTERING SCATTERERS BY THE USE OF POLSAR IMAGERY
         Lingli Zhao; Wuhan University
         Jie Yang; Wuhan University
         Pingxiang Li; Wuhan University
         Lei Shi; Wuhan University
         Jinyan Xu; State Oceanic Administration
 
  WEP.P32.178: URBAN LAND COVER CHANGE TYPES IDENTIFICATION USING FULLY POLARIMETRIC SAR DESCRIPTORS
         Lei Xie; Institute of Remote Sensing and Digital Earth,Chinese Academ
         Hong Zhang; Institute of Remote Sensing and Digital Earth,Chinese Academ
         Chao Wang; Institute of Remote Sensing and Digital Earth,Chinese Academ